conftrace_

maximum likelihood

255 papers

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Also known as

ML

Co-occurring keywords

maximum likelihood estimation (233) generative model (2892) variational inference (2069) parameter estimation (274) neural network (6616) expectation maximization (255) energy-based model (251) probabilistic modeling (852) markov chain monte carlo (725) normalizing flow (354)

Papers

Trumpets: Injective flows for inference and inverse problems UAI 2021
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation ICCV 2021
A Computationally Efficient Method for Learning Exponential Family Distributions NIPS 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks ICML 2021
Nonparametric estimation of continuous DPPs with kernel methods NIPS 2021
On Variational Inference in Biclustering Models ICML 2021
Rectangular Flows for Manifold Learning NIPS 2021
Coresets for Time Series Clustering NIPS 2021
Pseudo-Spherical Contrastive Divergence NIPS 2021
Maximum Likelihood Training of Score-Based Diffusion Models NIPS 2021
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling AAAI 2021
Efficient Truncated Linear Regression with Unknown Noise Variance NIPS 2021
General Purpose MRF Learning with Neural Network Potentials IJCAI 2020
Fˆ2-Softmax: Diversifying Neural Text Generation via Frequency Factorized Softmax EMNLP 2020
Deep Sigma Point Processes UAI 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation AISTATS 2020
An Empirical Investigation of Beam-Aware Training in Supertagging EMNLP 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach JMLR 2020
Learning Fair Naive Bayes Classifiers by Discovering and Eliminating Discrimination Patterns AAAI 2020
Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020
Imputing typological values via phylogenetic inference EMNLP 2020
Adversarial Robustness of Flow-Based Generative Models AISTATS 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations ICML 2020
Don’t Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training ACL 2020